• Login
    View Item 
    •   DSpace Home
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    •   DSpace Home
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Predicting the Optimal Tank Volume of a Rainwater Harvesting System: A Machine Learning Approach Based on Building Characteristics

    Thumbnail
    View/Open
    JHYEFF.HEENG-6587.pdf (4.452Mb)
    Date
    2026
    Author
    Chen, Shiguang
    Sun, Hongwei
    Chen, Xuebin
    Metadata
    Show full item record
    Abstract
    AbstractRainwater harvesting (RWH) is a promising strategy for addressing water scarcity, and the optimal design of storage tanks is vital for their efficiency. This study develops a predictive model using machine learning algorithms, specifically Random ...Schematic diagram of the study: the left side illustrates building characteristics that may influence the design of the RWH system tank volume, while the right side presents the machine learning workflow for predicting the optimal tank size.Schematic ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4311709
    Collections
    • Journal of Hydrologic Engineering

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV